{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/crossin/anaconda3/envs/PY37/lib/python3.7/site-packages/IPython/core/pylabtools.py:128: UserWarning: Glyph 32534 (\\N{CJK UNIFIED IDEOGRAPH-7F16}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/Users/crossin/anaconda3/envs/PY37/lib/python3.7/site-packages/IPython/core/pylabtools.py:128: UserWarning: Glyph 31243 (\\N{CJK UNIFIED IDEOGRAPH-7A0B}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/Users/crossin/anaconda3/envs/PY37/lib/python3.7/site-packages/IPython/core/pylabtools.py:128: UserWarning: Glyph 25945 (\\N{CJK UNIFIED IDEOGRAPH-6559}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/Users/crossin/anaconda3/envs/PY37/lib/python3.7/site-packages/IPython/core/pylabtools.py:128: UserWarning: Glyph 23460 (\\N{CJK UNIFIED IDEOGRAPH-5BA4}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/Users/crossin/anaconda3/envs/PY37/lib/python3.7/site-packages/IPython/core/pylabtools.py:128: UserWarning: Glyph 29992 (\\N{CJK UNIFIED IDEOGRAPH-7528}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/Users/crossin/anaconda3/envs/PY37/lib/python3.7/site-packages/IPython/core/pylabtools.py:128: UserWarning: Glyph 25143 (\\N{CJK UNIFIED IDEOGRAPH-6237}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/Users/crossin/anaconda3/envs/PY37/lib/python3.7/site-packages/IPython/core/pylabtools.py:128: UserWarning: Glyph 22686 (\\N{CJK UNIFIED IDEOGRAPH-589E}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/Users/crossin/anaconda3/envs/PY37/lib/python3.7/site-packages/IPython/core/pylabtools.py:128: UserWarning: Glyph 38271 (\\N{CJK UNIFIED IDEOGRAPH-957F}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/Users/crossin/anaconda3/envs/PY37/lib/python3.7/site-packages/IPython/core/pylabtools.py:128: UserWarning: Glyph 26354 (\\N{CJK UNIFIED IDEOGRAPH-66F2}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/Users/crossin/anaconda3/envs/PY37/lib/python3.7/site-packages/IPython/core/pylabtools.py:128: UserWarning: Glyph 32447 (\\N{CJK UNIFIED IDEOGRAPH-7EBF}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/Users/crossin/anaconda3/envs/PY37/lib/python3.7/site-packages/IPython/core/pylabtools.py:128: UserWarning: Glyph 26085 (\\N{CJK UNIFIED IDEOGRAPH-65E5}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/Users/crossin/anaconda3/envs/PY37/lib/python3.7/site-packages/IPython/core/pylabtools.py:128: UserWarning: Glyph 26399 (\\N{CJK UNIFIED IDEOGRAPH-671F}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/Users/crossin/anaconda3/envs/PY37/lib/python3.7/site-packages/IPython/core/pylabtools.py:128: UserWarning: Glyph 20851 (\\N{CJK UNIFIED IDEOGRAPH-5173}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/Users/crossin/anaconda3/envs/PY37/lib/python3.7/site-packages/IPython/core/pylabtools.py:128: UserWarning: Glyph 27880 (\\N{CJK UNIFIED IDEOGRAPH-6CE8}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/Users/crossin/anaconda3/envs/PY37/lib/python3.7/site-packages/IPython/core/pylabtools.py:128: UserWarning: Glyph 25968 (\\N{CJK UNIFIED IDEOGRAPH-6570}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
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\n",
      "text/plain": [
       "<Figure size 1584x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import datetime\n",
    "\n",
    "x_data = []\n",
    "y_data = []\n",
    "with open('crossin-data.txt') as f:\n",
    "    for line in f:\n",
    "        k, v = line.split()\n",
    "        x_data.append(datetime.datetime.strptime(k,'%m/%d/%y'))\n",
    "        y_data.append(v)\n",
    "# plt.figure(figsize=(10, 6.18))\n",
    "# plt.rcParams['font.sans-serif']=['SimHei']   # 用黑体显示中文\n",
    "%matplotlib inline \n",
    "# plt.rcParams['font.sans-serif']=['Songti SC']   # Mac\n",
    "plt.rcParams['axes.unicode_minus']=False     # 正常显示负号\n",
    "plt.rcParams['figure.figsize'] = (22.0, 12.0) # 设置figure_size尺寸\n",
    "\n",
    "plt.title('编程教室用户增长曲线')\n",
    "plt.xlabel('日期')\n",
    "plt.ylabel('关注数')\n",
    "# plt.style.use(\"seaborn-whitegrid\")\n",
    "plt.plot(x_data, y_data,'g')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           4             3          2\n",
      "3.231e-08 x - 6.945e-05 x + 0.0682 x - 6.821 x + 4855\n",
      "4次多项式拟合: 2636.7070615800226 1957.38665571 0.992268924645\n",
      "2021-03-12 00:00:00\n",
      "\n",
      "           5             4             3         2\n",
      "1.063e-10 x - 4.202e-07 x + 0.0006154 x - 0.369 x + 99.41 x - 1150\n",
      "5次多项式拟合: 1901.3424399387247 1519.0128418 0.995979900279\n",
      "2019-12-12 00:00:00\n",
      "\n",
      "           6             5             4            3          2\n",
      "2.068e-13 x - 9.501e-10 x + 1.624e-06 x - 0.001241 x + 0.4206 x - 34.82 x + 4261\n",
      "6次多项式拟合: 1143.1473206979356 748.087476309 0.998546816201\n",
      "2019-05-16 00:00:00\n",
      "\n",
      "           7             6             5             4             3\n",
      "1.799e-16 x - 8.654e-13 x + 1.578e-09 x - 1.365e-06 x + 0.0006094 x\n",
      "           2\n",
      " - 0.1459 x + 36.46 x + 2110\n",
      "7次多项式拟合: 994.0367305757893 507.138905218 0.99890119404\n",
      "2019-03-06 00:00:00\n",
      "\n",
      "            8             7             6             5             4\n",
      "-1.462e-20 x + 2.795e-16 x - 1.142e-12 x + 1.982e-09 x - 1.696e-06 x\n",
      "              3          2\n",
      " + 0.0007595 x - 0.1807 x + 39.84 x + 2031\n",
      "8次多项式拟合: 993.843869223312 510.030049659 0.998901620376\n",
      "2019-03-11 00:00:00\n",
      "\n",
      "(array([  3.23606891e+03,   2.10324354e-03,   2.01962709e+03]), 1)\n",
      "e为底的指数拟合 2681.9493849470355 1721.52000132 0.992001338896\n",
      "2020-12-16 00:00:00\n",
      "\n",
      "(array([  7.19628465e-06,   3.14675789e+00,   8.04473274e+03]), 1)\n",
      "幂函数拟合 3461.618922045982 2440.16781946 0.986674771835\n",
      "2022-12-28 00:00:00\n",
      "\n"
     ]
    },
    {
     "data": {
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qA1yQFW1R2UPRiBkhhAwy0/OmQ6vUCtzp1cCwRYBMGuMBPaUyehMIsTjhoW9w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\nWhXXqOqYzWblmWeeqbCvd+/eSnp6uuJ0OpXBgwcrhw8frpExW7ZsmfLUU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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10936e588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020-05-27 00:00:00\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from scipy.optimize import leastsq\n",
    "from sklearn import metrics\n",
    "from math import sqrt\n",
    "\n",
    "x_np = np.array([(d - x_data[0]).days for d in x_data])\n",
    "y_np = np.array(y_data).astype(np.int64)\n",
    "x_fit = np.array(range(1, 3500))\n",
    "\n",
    "plt.figure(figsize=(10, 10))\n",
    "axes = plt.gca()\n",
    "axes.set_ylim([0, 1100000])\n",
    "\n",
    "n = 0\n",
    "\n",
    "for k in range(4, 9):\n",
    "    coeff = np.polyfit(x_np, y_np, k)\n",
    "    poly = np.poly1d(coeff)\n",
    "    print(poly)\n",
    "\n",
    "    y_fit = poly(x_fit)\n",
    "    plt.plot(x_fit, y_fit, ':', label='%d次多项式拟合' % k)\n",
    "\n",
    "    rmse = sqrt(metrics.mean_squared_error(y_np, poly(x_np)))\n",
    "    mae = metrics.mean_absolute_error(y_np, poly(x_np))\n",
    "    r2 = metrics.r2_score(y_np, poly(x_np))\n",
    "    print('%d次多项式拟合:' % k, rmse, mae, r2)    \n",
    "    try:\n",
    "        day100 = np.where(y_fit > 1000000)[0][0]\n",
    "        n += day100\n",
    "        print(datetime.timedelta(days=int(day100)) + x_data[0])\n",
    "    except:\n",
    "        print('没达到')\n",
    "    print()\n",
    "\n",
    "# exp^x\n",
    "def func_exp(x, p):\n",
    "    a,b,c = p\n",
    "    return a * np.exp(b * x) + c\n",
    "\n",
    "# x^a\n",
    "def func_pow(x, p):\n",
    "    a,b,c = p\n",
    "    return a * x ** b + c\n",
    "\n",
    "def fit(func, pe, title):\n",
    "    global n\n",
    "    def residuals(p, y, x):\n",
    "        return y - func(x, p)\n",
    "\n",
    "    plsq = leastsq(residuals, pe, args=(y_np, x_np))\n",
    "    print(plsq)\n",
    "    \n",
    "    y_fit = func(x_fit, plsq[0])\n",
    "    plt.plot(x_fit, y_fit, label=title)\n",
    "\n",
    "    rmse = sqrt(metrics.mean_squared_error(y_np, func(x_np, plsq[0])))\n",
    "    mae = metrics.mean_absolute_error(y_np, func(x_np, plsq[0]))\n",
    "    r2 = metrics.r2_score(y_np, func(x_np, plsq[0]))\n",
    "    print(title, rmse, mae, r2)\n",
    "    day100 = np.where(y_fit > 1000000)[0][0]\n",
    "    n += day100\n",
    "    print(datetime.timedelta(days=int(day100)) + x_data[0])\n",
    "    print()\n",
    "\n",
    "fit(func_exp, [1, 0.0001, 1], 'e为底的指数拟合')\n",
    "fit(func_pow, [1, 1, 1], '幂函数拟合')\n",
    "\n",
    "# 原曲線\n",
    "plt.plot(x_np, y_np, 'r', label='原始数据')\n",
    "plt.axhline(1000000, ls=':', color='r')\n",
    "plt.legend(prop=myfont)\n",
    "plt.show()\n",
    "print(datetime.timedelta(days=int(n/7)) + x_data[0])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
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    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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